Neural radiance field is an emerging rendering method that generates
hig...
In recent years, there has been increasing interest in applying stylizat...
360 images can provide an omnidirectional field of view which is
importa...
In this paper, we address the problem of conditional scene decoration fo...
Building a video retrieval system that is robust and reliable, especiall...
In this paper, we propose a new method for mapping a 3D point cloud to t...
Effective analysis of unusual domain specific video collections represen...
Architectural photography is a genre of photography that focuses on capt...
Neural radiance field (NeRF) has recently achieved impressive results in...
3D point clouds deep learning is a promising field of research that allo...
The huge domain gap between sketches and photos and the highly abstract
...
Furnishing and rendering an indoor scene is a common but tedious task fo...
SLAM (Simultaneous Localization And Mapping) seeks to provide a moving a...
With the recent developments of convolutional neural networks, deep lear...
Recent advances in deep learning for 3D point clouds have shown great
pr...
Fully-automatic execution is the ultimate goal for many Computer Vision
...
Recent progresses in 3D deep learning has shown that it is possible to d...
Deep learning with 3D data has progressed significantly since the
introd...
Deep learning techniques for point cloud data have demonstrated great
po...
Deep learning techniques have become the to-go models for most vision-re...
The widespread adoption of autonomous systems such as drones and assista...
Deep learning with 3D data such as reconstructed point clouds and CAD mo...
Recent advances of 3D acquisition devices have enabled large-scale
acqui...
We present a portable device to capture both shape and reflectance of an...
Recent works on interactive video object cutout mainly focus on designin...
We prove a closed-form solution to tensor voting (CFTV): given a point s...
Superpixels have become prevalent in computer vision. They have been use...